Senior Data Scientist, Enterprise Asset Management; EAM Value Realization

Job : 12545

Business Unit: MTA Headquarters

Location: New York, NY, United States

Regular/Temporary: Regular

Date Posted: Oct 22, 2025

Description

JOB TITLE:

Senior Data Scientist, Enterprise Asset Management (EAM) Value Realization

DEPT/DIV:

Chief Strategic Initiatives Officer / Enterprise Asset Management

WORK LOCATION:

2 Broadway, New York, NY 10004

FULL/PART-TIME

FUL L

SALARY RANGE:

$113,027 - $127,586

DEADLINE:

This position is eligible for teleworking , which is currently one day per week. New hires are eligible to apply 30 days after their effective hire date.

Opening:

The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation’s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.

Position Objective:

The incumbent in this position will help lead the Enterprise Asset Management (EAM) Value Realization team in strategy creation, design, and implementation of applications utilizing EAM data, and solve a wide array of analytical problems within our MTA systems. They will use languages such as Structured Query Language (SQL), Python, ArcGIS Python (Arc Py) and R. As well as applications such as Power BI and ArcGIS Pro, and relational database tools such as Oracle, Postgres, Jupyter Notebooks and SQL Server to analyze large datasets, build new ones, and design overall data applications for the business.

The incumbent must have expertise, or the ability to quickly understand and build expertise, in different areas of the MTA to support assumptions and business reviews. The incumbent will need to carefully document their work and be able to explain it clearly in response to questions from all levels of the company. They will design all projects and work outputs to support strategic goals to build data systems and processes that are well-structured and sustainable.

Due to the size and complexity of the projects they will be working on, the incumbent will also be required to collaborate closely with operators, data/ process owners, IT, Data & Analytics, and EAM across all agencies to achieve successful outcomes.

Responsibilities:

• Designing data-driven technical solutions to meet business needs.
• Designing and carrying out quality controls on output data for validity, accuracy, and usability by the desired audience.
• Working with business partners to understand reporting needs, design appropriate procedures and outputs to achieve them, and carry out other associated work.
• Breaking down large requests/ problems from senior managers into discrete and solvable programming tasks and providing requested Ad-hoc analytics.
• Documenting work in a thorough manner consistent with team standards so that it can be easily understood by teammates.
• Creating documents explaining the work done – both the outputs/ insights and the pipeline – for technical and non-technical audiences.
• Performing statistical analyses on a wide range of datasets.
• Keeping skills current by learning new algorithms, programming languages, and techniques.
• Providing support and instruction (in both business knowledge and coding practices) to less-experienced members of the team.
• Other duties as assigned.

Required Knowledge/Skills/Abilities :

• Strong skills in programming for data analytics, most preferably in Python or SQL, but other languages such as R and Java are valuable.
• Strong skills in database design and management
• Strong skills in GIS Software Applications, preferably Arc Pro and Enterprise, as well as Experience Builder and Survey
  123 Connect.
• Understanding of analytical methods (e.g., probability and statistics, algorithm design).
• Familiarity with transit/ transportation systems, particularly the MTA subway, bus, and railroad networks.
• Exceptional ability to read code and interpret data.
• Familiarity with…